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Data Structures and Algorithms (I)

This course is part of Data Structures and Algorithms Specialization

Taught in Chinese (Simplified)

Instructor: Junhui DENG

Financial aid available

15,394 already enrolled

(31 reviews)

Recommended experience

Intermediate level

Basic Computer Science and programming skills

What you'll learn

Algorithms used to solve complex problems

Principles and methods in the design and implementation of various data structures

Skills for algorithm design and performance analysis

Background on fundamental data structures and recent results

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There are 7 modules in this course

By learning this course, you will get a comprehensive grasp of vector and list and the ability to use them in solving real problems. By the end of this course, you will be able to evaluate data structures and algorithms in terms of asymptotic complexity, analyze storage/time complexity of iterative/recursive algorithms, implement

vector and list, understand/implement basic sorting algorithms such as Bubblesort, Insertionsort, and Selectionsort, understand/implement search algorithms such as Binary Search, Fibonacci Search, and Interpolation Search, use vector and list in problem-solving. 通过学习本课程，你将得到向量和列表的全面理解以及使用向量和列表解决实际问题的能力。 在本课程结束时，你将能够根据渐进复杂度评估数据结构和算法，分析迭代/递归算法的空间/时间复杂度，实现向量和列表， 了解/实现基本排序算法（例如冒泡排序、插入排序和选择排序），理解/实现搜索算法（例如二分搜索、斐波那契搜索和插值搜索）， 使用向量和列表解决问题。

What's included

5 readings 3 discussion prompts

5 readings • Total 33 minutes

• 写在选课之前 • 10 minutes
• 考核方式 • 5 minutes
• 课程教材与讲义 • 10 minutes
• 关于讨论区 • 5 minutes
• 微信平台 • 3 minutes

3 discussion prompts • Total 30 minutes

• 编程作业01-Range • 10 minutes
• 编程作业02-Zuma • 10 minutes
• 编程作业03-LightHouse • 10 minutes

21 videos 5 quizzes

21 videos • Total 106 minutes

• 01-A-1：计算 • 2 minutes • Preview module
• 01-A-2：绳索计算机 • 3 minutes
• 01-A-3：尺规计算机 • 4 minutes
• 01-A-4：算法 • 4 minutes
• 01-A-5：有穷性 • 10 minutes
• 01-A-6：好算法 • 3 minutes
• 01-B-1：性能测度 • 2 minutes
• 01-B-2：问题规模 • 5 minutes
• 01-B-3：最坏情况 • 4 minutes
• 01-B-4：理想模型 • 3 minutes
• 01-B-5：图灵机 • 5 minutes
• 01-B-6：图灵机实例 • 6 minutes
• 01-B-7：RAM模型 • 6 minutes
• 01-B-8：RAM实例 • 7 minutes
• 01-C-1：主流长远 • 4 minutes
• 01-C-2：大O记号 • 8 minutes
• 01-C-3：高效解 • 6 minutes
• 01-C-4：有效解 • 4 minutes
• 01-C-5：难解 • 2 minutes
• 01-C-6：2-Subset • 7 minutes
• 01-C-7：增长速度 • 1 minute

5 quizzes • Total 14 minutes

• 有穷性 QUIZ • 3 minutes
• 好算法 QUIZ • 2 minutes
• 图灵机 QUIZ • 3 minutes
• RAM模型 QUIZ • 3 minutes
• 大O记号 QUIZ • 3 minutes

26 videos 20 quizzes

26 videos • Total 142 minutes

• 01-D-1：算法分析 • 4 minutes • Preview module
• 01-D-2：级数 • 8 minutes
• 01-D-3：循环 • 6 minutes
• 01-D-4：实例：非极端元素+起泡排序 • 5 minutes
• 01-D-5：正确性的证明 • 5 minutes
• 01-D-6：封底估算-1 • 5 minutes
• 01-D-7：封底估算-2 • 7 minutes
• 01-E-1：迭代与递归 • 6 minutes
• 01-E-2：减而治之 • 2 minutes
• 01-E-3：递归跟踪 • 6 minutes
• 01-E-4：递推方程 • 3 minutes
• 01-E-5：数组倒置 • 4 minutes
• 01-E-6：分而治之 • 1 minute
• 01-E-7：二分递归：数组求和 • 8 minutes
• 01-E-8：二分递归：Max2 • 9 minutes
• 01-E-9：Max2：二分递归 • 5 minutes
• 01-XC-1：动态规划 • 7 minutes
• 01-XC-2：Fib()：递推方程 • 3 minutes
• 01-XC-3：Fib()：封底估算 • 4 minutes
• 01-XC-4：Fib()：递归跟踪 • 2 minutes
• 01-XC-5：Fib()：迭代 • 5 minutes
• 01-XC-6：最长公共子序列 • 4 minutes
• 01-XC-7：LCS：递归 • 7 minutes
• 01-XC-8：LCS：理解 • 5 minutes
• 01-XC-9：LCS：复杂度 • 6 minutes
• 01-XC-A：LCS：动态规划 • 4 minutes

20 quizzes • Total 76 minutes

• Θ记号 • 8 minutes
• 迭代的复杂度 • 4 minutes
• 递归的复杂度 • 5 minutes
• 起泡排序 • 3 minutes
• 级数 QUIZ • 5 minutes
• 循环 QUIZ • 5 minutes
• 正确性的证明 QUIZ • 3 minutes
• 减而治之 QUIZ • 3 minutes
• 递归跟踪 QUIZ • 5 minutes
• 数组倒置 QUIZ • 3 minutes
• 分而治之 QUIZ • 5 minutes
• 动态规划 QUIZ • 3 minutes
• Fib()：递推方程 QUIZ • 3 minutes
• Fib()：封底估算 QUIZ • 3 minutes
• Fib()：递归跟踪 QUIZ • 3 minutes
• Fib()：迭代 QUIZ • 3 minutes
• 最长公共子序列 QUIZ • 3 minutes
• LCS：递归 QUIZ • 3 minutes
• LCS：理解 QUIZ • 3 minutes
• LCS：动态规划 QUIZ • 3 minutes

30 videos 24 quizzes

30 videos • Total 134 minutes

• 02-A-1：接口与实现 • 6 minutes • Preview module
• 02-A-2：向量ADT • 5 minutes
• 02-A-3：接口操作实例 • 7 minutes
• 02-A-4：构造与析构 • 6 minutes
• 02-A-5：复制 • 3 minutes
• 02-B-1：可扩充向量 • 3 minutes
• 02-B-2：动态空间管理 • 5 minutes
• 02-B-3：递增式扩容 • 3 minutes
• 02-B-4：加倍式扩容 • 4 minutes
• 02-B-5：分摊复杂度 • 3 minutes
• 02-C-1：概述 • 3 minutes
• 02-C-2：循秩访问 • 3 minutes
• 02-C-3：插入 • 3 minutes
• 02-C-4：区间删除 • 2 minutes
• 02-C-5：单元素删除 • 3 minutes
• 02-C-6：查找 • 5 minutes
• 02-C-7：唯一化 • 9 minutes
• 02-C-8：遍历 • 3 minutes
• 02-D1-1：有序性 • 3 minutes
• 02-D1-2：唯一化（低效版） • 3 minutes
• 02-D1-3：复杂度（低效版） • 3 minutes
• 02-D1-4：唯一化（高效版） • 5 minutes
• 02-D1-5：实例与分析（高效版） • 5 minutes
• 02-D2-1：概述 • 2 minutes
• 02-D2-2：接口 • 2 minutes
• 02-D2-3：语义 • 5 minutes
• 02-D2-4：原理 • 2 minutes
• 02-D2-5：实现 • 3 minutes
• 02-D2-6：实例 • 5 minutes
• 02-D2-7：查找长度 • 7 minutes

24 quizzes • Total 72 minutes

• 接口与实现 QUIZ • 3 minutes
• 接口操作实例 QUIZ • 3 minutes
• 复制 QUIZ • 3 minutes
• 可扩充向量 QUIZ • 3 minutes
• 动态空间管理 QUIZ • 3 minutes
• 递增式扩容 QUIZ • 3 minutes
• 加倍式扩容 QUIZ • 3 minutes
• 分摊复杂度 QUIZ • 3 minutes
• 循秩访问 QUIZ • 3 minutes
• 插入 QUIZ • 3 minutes
• 区间删除 QUIZ • 3 minutes
• 唯一化 QUIZ • 3 minutes
• 遍历 QUIZ • 3 minutes
• 有序性 QUIZ • 3 minutes
• 唯一化（低效版） QUIZ • 3 minutes
• 复杂度（低效版） QUIZ • 3 minutes
• 唯一化（高效版） QUIZ • 3 minutes
• 实例与分析（高效版） QUIZ • 3 minutes
• 接口 QUIZ • 3 minutes
• 语义 QUIZ • 3 minutes
• 原理 QUIZ • 3 minutes
• 实现 QUIZ • 3 minutes
• 实例 QUIZ • 3 minutes
• 查找长度 QUIZ • 3 minutes

25 videos 20 quizzes

25 videos • Total 110 minutes

• 02-D3-1：构思 • 5 minutes • Preview module
• 02-D3-2：实现 • 1 minute
• 02-D3-3：实例 • 3 minutes
• 02-D3-4：最优性 • 5 minutes
• 02-D4-1：构思 • 4 minutes
• 02-D4-2：版本B • 3 minutes
• 02-D4-3：语义 • 3 minutes
• 02-D4-4：版本C • 2 minutes
• 02-D4-5：正确性 • 7 minutes
• 02-D5-1：原理 • 5 minutes
• 02-D5-2：实例 • 4 minutes
• 02-D5-3：性能分析 • 3 minutes
• 02-D5-4：字宽折半 • 2 minutes
• 02-D5-5：综合对比 • 3 minutes
• 02-E-1：构思 • 6 minutes
• 02-E-2：改进 • 3 minutes
• 02-E-3：反例 • 3 minutes
• 02-E-4：再改进 • 6 minutes
• 02-E-5：综合评价 • 4 minutes
• 02-F-1：归并排序：构思 • 5 minutes
• 02-F-2：归并排序：主算法 • 1 minute
• 02-F-3：二路归并：实例 • 3 minutes
• 02-F-4：二路归并：实现 • 7 minutes
• 02-F-5：二路归并：正确性 • 6 minutes
• 02-F-6：归并排序：性能分析 • 5 minutes

20 quizzes • Total 83 minutes

• 向量的接口与实现 • 15 minutes
• 二分查找 • 12 minutes
• 斐波那契查找 • 3 minutes
• 归并排序 • 3 minutes
• 构思 QUIZ • 3 minutes
• 版本B QUIZ • 3 minutes
• 版本C QUIZ • 3 minutes
• 正确性 QUIZ • 3 minutes
• 性能分析 QUIZ • 3 minutes
• 改进 QUIZ • 3 minutes
• 综合评价 QUIZ • 3 minutes
• 归并排序：构思 QUIZ • 4 minutes
• 二路归并：实例 QUIZ • 3 minutes
• 归并排序：性能分析 QUIZ • 4 minutes

27 videos 16 quizzes

27 videos • Total 113 minutes

• 03-A-1：从静态到动态 • 2 minutes • Preview module
• 03-A-2：从向量到列表 • 2 minutes
• 03-A-3：从秩到位置 • 3 minutes
• 03-A-4：实现 • 6 minutes
• 03-B-1：循秩访问 • 3 minutes
• 03-B-2：查找 • 3 minutes
• 03-B-3：插入与复制 • 5 minutes
• 03-B-4：删除和析构 • 3 minutes
• 03-B-5：唯一化 • 4 minutes
• 03-C-1：唯一化·构思 • 3 minutes
• 03-C-2：唯一化·实现 • 2 minutes
• 03-C-3：查找 • 4 minutes
• 03-D-1：构思 • 6 minutes
• 03-D-2：实例 • 2 minutes
• 03-D-3：实现 • 3 minutes
• 03-D-4：推敲 • 3 minutes
• 03-D-5：selectMax() • 4 minutes
• 03-D-6：性能 • 2 minutes
• 03-E-1：经验 • 2 minutes
• 03-E-2：构思 • 2 minutes
• 03-E-3：对比 • 1 minute
• 03-E-4：实例 • 2 minutes
• 03-E-5：实现 • 4 minutes
• 03-E-6：性能分析 • 6 minutes
• 03-E-7：平均性能 • 6 minutes
• 03-E-8：逆序对 • 8 minutes
• 03-XD：习题辅导：LightHouse • 6 minutes

16 quizzes • Total 82 minutes

• 列表的接口与实现 • 15 minutes
• 选择排序 • 10 minutes
• 插入排序 • 16 minutes
• 从秩到位置 QUIZ • 3 minutes
• 插入与复制 QUIZ • 3 minutes
• 唯一化·构思 QUIZ • 3 minutes
• 查找 QUIZ • 3 minutes
• selectMax() QUIZ • 3 minutes
• 性能 QUIZ • 3 minutes
• 对比 QUIZ • 3 minutes
• 平均性能 QUIZ • 3 minutes
• 逆序对 QUIZ • 5 minutes

3 programming assignments

3 programming assignments • Total 540 minutes

• 范围查询 (Range) • 180 minutes
• 祖玛 (Zuma) • 180 minutes
• 灯塔 (LightHouse) • 180 minutes

Free online courses from Tsinghua University Tsinghua University, founded in 1911, is one of the most prestigious universities in Asia. Tsinghua University consists of 19 schools and 55 departments with faculties in science, engineering, humanities, social sciences, architecture, management, law, medicine, arts and design. As China’s leading institution of advanced learning, Tsinghua is dedicated to excellence in education, research, and social services. Tsinghua has approximately 3,200 faculty members and over 35,000 students, including 3,500 international students from 108 countries. Among its 170,000 alumni are many outstanding scholars, successful entrepreneurs, and distinguished statesmen who have been playing important roles in the development of China.

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Frequently asked questions

When will i have access to the lectures and assignments.

Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.

The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

What will I get if I subscribe to this Specialization?

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

What is the refund policy?

If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy Opens in a new tab .

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions

Data Structures

Arrays - ds easy problem solving (basic) max score: 10 success rate: 93.17%, 2d array - ds easy problem solving (basic) max score: 15 success rate: 93.15%, dynamic array easy problem solving (basic) max score: 15 success rate: 86.88%, left rotation easy problem solving (basic) max score: 20 success rate: 91.33%, sparse arrays medium problem solving (basic) max score: 25 success rate: 97.28%, array manipulation hard problem solving (intermediate) max score: 60 success rate: 61.41%, print the elements of a linked list easy problem solving (basic) max score: 5 success rate: 97.16%, insert a node at the tail of a linked list easy problem solving (intermediate) max score: 5 success rate: 95.28%, insert a node at the head of a linked list easy problem solving (basic) max score: 5 success rate: 98.32%, insert a node at a specific position in a linked list easy problem solving (intermediate) max score: 5 success rate: 96.97%, cookie support is required to access hackerrank.

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Learn Python practically and Get Certified .

Popular Tutorials

Popular examples, reference materials, learn python interactively, learn ds & algorithms.

A computer program is a collection of instructions to perform a specific task. For this, a computer program may need to store data, retrieve data, and perform computations on the data.

A data structure is a named location that can be used to store and organize data. And, an algorithm is a collection of steps to solve a particular problem. Learning data structures and algorithms allow us to write efficient and optimized computer programs.

Our DSA tutorial will guide you to learn different types of data structures and algorithms and their implementations in Python, C, C++, and Java.

Do you want to learn DSA the right way? Enroll in our Interactive DSA Course for FREE.

• Introduction

Data Structures (I)

Data structures (ii), tree based dsa (i), tree based dsa (ii), graph based dsa.

• Sorting and Searching

Greedy Algorithms

• Dynamic Programming

Other Algorithms

• How to learn DSA?

DSA Introduction

• What is an algorithm?
• Data Structure and Types
• Why learn algorithms?
• Asymptotic Notations
• Master Theorem
• Divide and Conquer Algorithm
• Types of Queue
• Circular Queue
• Priority Queue
• Linked List
• Linked List Operations
• Types of Linked List
• Heap Data Structure
• Fibonacci Heap
• Decrease Key and Delete node from Fibonacci Heap
• Tree Data Structure
• Tree Traversal
• Binary Tree
• Full Binary Tree
• Perfect Binary Tree
• Complete Binary Tree
• Balanced Binary Tree
• Binary Search Tree
• Insertion into B-tree
• Deletion from B-tree
• Insertion on a B+ Tree
• Deletion from a B+ Tree
• Red Black Tree
• Insertion in Red Black Tree
• Deletion from Red Black Tree
• Graph Data Structure
• Spanning Tree
• Strongly Connected Components
• Adjacency Matrix
• Adjacency List
• DFS Algorithm
• Breadth-first Search
• Bellman Ford's Algorithm

Sorting and Searching Algorithms

• Bubble Sort
• Selection Sort
• Insertion Sort
• Counting Sort
• Bucket Sort
• Linear Search
• Binary Search
• Greedy Algorithm
• Ford-Fulkerson Algorithm
• Dijkstra's Algorithm
• Kruskal's Algorithm
• Prim's Algorithm
• Huffman Code
• Floyd Warshall Algorithm
• Longest Common Subsequence
• Backtracking Algorithm
• Rabin-Karp Algorithm

Why Learn DSA?

• Write optimized and scalable code - Once you have knowledge about different data structures and algorithms, you can determine which data structure and algorithm to choose in various conditions.
• Effective use of time and memory - Having knowledge about data structures and algorithms will help you write codes that run faster and require less storage.
• Better job opportunities - Data structures and algorithms questions are frequently asked in job interviews of various organizations including Google, Facebook, and so on.

How you can learn data structure and algorithms?

Interactive dsa course.

Want to learn DSA with Python by solving quizzes and challenges after learning each concept? Enroll in our DSA Interactive Course for FREE.

Learn DSA from Programiz

Programiz offers a complete series of easy to follow DSA tutorials along with suitable examples. These tutorials are targeted for absolute beginners who want to dive into the field of computer programming.

Learn DSA from Books

Learning from books is always a good practice. You will get the big picture of programming concepts in the book which you may not find elsewhere.

Here are some books we personally recommend.

• Introduction to Algorithms, Thomas H. Cormen - it is one of the best books in algorithms and covers a broad range of algorithms in-depth
• Algorithms, Robert Sedgewick - it is the leading textbook on algorithms and is widely used in colleges and universities
• The Art of Computer Programming, Donald E. Knuth - this book is considered best if you know the subject and are looking for deeper understanding

Learn DSA through visualization

Once you have some idea about data structure and algorithms, there is a great resource at Data Structure Visualizations that lets you learn through animation.

15 Best Courses for Data Structures and Algorithms (2024)

Introduction, best data structures and algorithms courses (2024), 1. scaler academy’s data structure and algorithm course, 2. algorithms & data structures-part 1 and 2 (coursera), 3. data structures-university of california san diego, 4. data structures-by nptel, 5. cs50’s introduction to computer science, 6. introduction to algorithms, 7. data structures and algorithms specialization program (coursera), 8. algorithms specialization by stanford university, 9. free algorithms course by iit bombay (edx), 10. data science foundations: data structures and algorithms specialization, 11. advanced-data structures-mit open courseware, 12. programming foundations: algorithms, 13. python data structures, 14. master the coding interview: data structures + algorithms, 15. accelerated computer science fundamentals specialization by the university of illinois, frequently asked questions, q.1: why are data structures and algorithms important, q.2: can i learn data structures and algorithms in python, q.3: where data structures and algorithms are used, useful resources, other courses.

The world of computer science revolves around data structures and algorithms. They serve as the bedrock for all other parts of computer science and development. This is why firms like Google, Microsoft, and Facebook are on the lookout for programmers who are knowledgeable about data structures and algorithms. Learning DSA could be beneficial whether you are seeking a new job or attempting to improve your skills. To learn how to code, you don’t need to spend loads of money on a college education. This is when online courses come in handy. They are a great source of learning and act as proof of skill during interviews.

You’ve come to the right place if you want to learn about data structures and algorithms. We made an effort for you. We searched through the highest-rated courses on the web and hand-picked 15 of the best to help you become an expert on the most-wanted skill right now.

Scaler Academy by InterviewBit offers a thoughtfully designed curriculum to make you understand the toughest of DSA concepts easily. Courses are available for all levels-beginners, intermediate, and expert. The curriculum can be optimized to your pace of learning. Projects and assignments at the end of topics help you cement the concepts you have learned. This course will teach you how to become an expert in data structures and algorithms, as well as how to ace product interviews so you can advance in your computer career.

Confused about your next job?

The course covers

• The basics of programming
• Time Complexity
• Binary Search
• 2 Pointers, Recursion
• Bit manipulation
• Linked Lists
• Greedy Algorithms
• DP (Dynamic Programming)
• Database concepts
• OS, and 
• Computer Networks

Duration: 44 weeks Eligibility: Anyone who graduated in 2022 can apply Price: 3.59 lakhs, but your monthly payment might be as low as Rs 8,370 per month with scholarship and EMI choices

Check Out: Scaler Academy’s Data Structure and Algorithm Course

This course covers the principles of algorithms and data structures that every serious programmer should know, with a focus on Java implementations and scientific performance analysis. Basic data structures, sorting, and searching strategies are covered in the first section of the course. The second section of the course is dedicated to graph and string processing techniques. This course includes all the features for free. It comes with a certificate when you finish it, but you have to pay for the certificate. 

Topics covered in part 1:  

• Analysis of algorithms
• Stacks and queues
• Elementary sorts
• Priority queues
• Elementary symbol tables
• Balanced search trees
• Geometric applications of BSTs
• Hash Tables
• Symbol table application

Duration: 53 hours approx. You can set deadlines according to your schedule. Level: Intermediate level Price: Free to enrol

The common data structures that are utilized in many computational problems are discussed in this online course. You will learn how to implement these data structures in various programming languages and will experience doing so in our programming assignments. This will assist you in understanding what is happening inside a specific built-in implementation of a data structure and what to expect from it. The prerequisite of the course is any object-oriented programming language. You’ll also learn about common applications for these data structures.

Topic covered:

• Basic Data structures (arrays, linked list, stacks, queues)
• Dynamic arrays and amortized analysis
• Priority queues and disjoint sets
• Hash tables
• Binary search trees 

Duration: 25 hours approx. You can set deadlines according to your schedule. Level: Intermediate level Price: Free to enroll

This data structure course by NPTEL will teach you-efficient storage mechanisms of data for easy access, to design and implementation of various basic and advanced data structures to introduce various techniques for the representation of the data in the real world, to develop applications using data structures, to teach the concept of protection and management of data, to improve the efficiency of any algorithm by using the suitable data structure.

Topics covered:

• Introduction to List 
• Array and Linked List  
• Stack Implementation using array and linked list – Applications of Stack
• Queue Implementation – Application of Queues
• Trees and Terminologies – Tree Traversals
• In order Traversal-Binary Search Tree – Implementation of Search Algorithm
• AVL Tree Insertion, Deletion
• Graph representation, Shortest Path Algorithm
• Sorting, Heap Techniques, Hashing
• Sorting Algorithms, Divide and Conquer algorithms
• Selection Sort, Brute force sort, Bubble Sort
• Insertion Sort, Quicksort applications
• Prim’s Algorithm, Kruskal’s Algorithm
• Bucket Sorting, Radix Sort, Merge Sort
• Directories and Contiguous allocation, File maintenance
• External Sorting, Cascade Merge Sort
• B + Tree maintenance and efficiency, Construction of B-tree, B+tree insertion and deletion

Duration: 12 weeks Level: Undergraduate/Postgraduate

CS50x is a Harvard University course that introduces majors and non-majors alike, with or without prior programming experience, to the academic pursuits of computer science and the art of programming. CS50x is an introductory computer science course given by David J. Malan that teaches students:

• How to think algorithmically and solve problems quickly
• Abstraction
• Data structures
• Encapsulation
• Resource management
• Software engineering, and
• Web development 

C, Python, SQL, and JavaScript, as well as CSS and HTML, are among the languages available. Real-world domains such as biology, encryption, economics, forensics, and gaming-inspired problem sets are present in this course. CS50, Harvard’s largest course, is the on-campus version of CS50x. A certificate is awarded to students who get an acceptable grade on nine problem sets (programming assignments) and a final project. CS50x is a self-paced course that you can do at your own speed.

Duration: 12 weeks Level: Introductory Prerequisites: None

This open course from MIT provides an introduction to computational problems and mathematical modeling. It goes over the most prevalent algorithms, algorithmic paradigms, and data structures for solving these issues. The focus of the course is on the interaction between algorithms and programming, as well as basic performance measures and analysis approaches for these issues.

What you will learn:

• Introduction to mathematical modeling of computational problems
• Common algorithm
• Algorithm paradigms
• Relationship between algorithms and programming
• Basic performance measures and analysis techniques for these problems.

Duration: Not available Level: Undergraduate Prerequisites:  Basic understanding of Python as well as a solid background in discrete mathematics.

The University of California, San Diego, and the National Research Institute Higher School of Economics both offer this specialization in algorithms and data structures. Students learn the theory underlying algorithms, implement them in a programming language of their choice, and use them to solve actual problems in this curriculum, which offers a solid blend of theory and practice.

The program is divided into six courses, with the first two covering theory and basic algorithmic techniques before moving on to advanced algorithms and complexity. It includes the following topics:

• Using data structures to solve a variety of problems
• Graph data structure
• Graph-based algorithms
• Algorithms on strings
• Advanced algorithmic concepts like Network flows, linear programming, and NP-complete problems

Duration: 8 months Level: Intermediate-level course Prerequisites:  Basic knowledge of any one programming language like C, C++, Java, Python, JavaScript, or Kotlin Is required.

Stanford University offers this Coursera Algorithms speciality. Understanding the fundamentals of algorithms and related data structures is required for serious work in nearly every discipline of computer science. This course introduces learners to algorithms and emphasizes conceptual knowledge rather than diving right into mathematical specifics and low-level implementation. It aids in the development of the participants’ programming and thinking skills, preparing them to pursue serious software engineering, ace technical interviews, and study more sophisticated algorithms topics. 

• Asymptotic (“Big-oh”) notation
• Sorting and searching algorithms
• Master method for analyzing algorithms
• Quicksort algorithm and its analysis
• Data structures-heaps, balanced search trees, hash tables, bloom filters
• Dijkstra’s shortest-path algorithm
• Breadth-first and depth-first search and its applications
• Greedy algorithms (scheduling, minimum spanning trees, clustering, Huffman codes)
• Dynamic programming (knapsack, sequence alignment, optimal search trees)
• Shortest paths algorithms (Bellman-Ford, Floyd-Warshall, Johnson)
• NP-complete problems and exact and approximation algorithms for them
• Local search algorithms for NP-complete problems

Duration: 4 months Level: For intermediate-level learners Prerequisites: Not available

Expert academic members from the reputed IIT Bombay’s Department of Computer Science and Engineering designed this edX Algorithms course. It’s part of the Fundamentals of Computer Science XSeries Program at IIT Bombay, and it teaches students how to structure and use algorithms to solve real-world problems. Students learn how to think about algorithms and how to implement them using the best techniques in this computer science course. The course covers the following topics:

• Sorting algorithms such as quick sort and merge sort
• Searching algorithms
• Median finding
• Order statistics
• Geometric algorithms like Polynomial Multiplication
• String algorithms
• Numerical algorithms
• Matrix Operations, GCD, Pattern Matching, Subsequences, Sweep, and Convex Hull
• Graph algorithms like shortest path and spanning tree

Duration: 6 weeks Level: Intermediate-level course Prerequisites: Requires basic knowledge of data structures and their implementation.

Sriram Sankaranarayanan, the top instructor of Coursera, guides you through this advanced specialization. In this course, you will learn to organize, store and process data efficiently using advanced data structures, design algorithms and analyze their complexities in terms of running time and space usage, searching and sorting algorithms, and build applications that support highly efficient algorithms and data structures. This specialization is part of a Master of Science in data science degree from the University of Colorado Boulder. Learners are expected to have knowledge of calculus, Probability theory, and some programming experience in python. The duration of this course is approximately three months.

Skills that you’ll gain:

• Dynamic Programming
• Greedy algorithms
• Divide and Conquer algorithm
• Randomized algorithms
• Sorting algorithms
• Spanning tree
• NP-completeness

Duration: Approximately three months. Level: Intermediate Prerequisites:  Learners are expected to have knowledge of calculus, Probability theory, and some programming experience in python. Price: Free to enroll

This is a graduate-level course from MIT open courseware. Topics covered include

• Time travel
• Dynamic optimality
• Memory hierarchy
• Hashing 
• Dynamic graphs

Duration: Not available Level: Graduate level Prerequisites: The prerequisite to this course is an undergraduate-level understanding of the design and analysis of algorithms and basic knowledge of data structures.

Joe Marini, author, and developer, walks you through some of the most popular and effective algorithms for finding and sorting data, working with recursion, and understanding common data structures in this course. He also goes through the performance implications of various algorithms and how to evaluate an algorithm’s performance. The teachings are demonstrated in Python, but they can be applied to any programming language. Topics covered:

• Common data structures (Arrays, Linked List, Stacks, Queues, Hash Tables)
• Other Algorithms (Unique filtering with hash tables, Finding max value recursively)

The course costs 1150 rupees and LinkedIn also provides a certificate of completion. The course is self-paced, and any beginner can apply for this course.

This Python data structures course is part of the University of Michigan’s Python for Everyone Specialization on Coursera. It gives an overview of the Python programming language’s basic data structures. This is one of the most popular courses, with a 4.9 rating and almost half a million students who have already completed it. 12% of the learners who have completed the course got a tangible career. Topics covered:

• Installing Python
• Dictionaries

Financial aid is available for this course which takes 19 hours to complete. The good thing about the course is that it is beginner-friendly.

This course is designed for you if you want to work for a great tech business like Google, Microsoft, Facebook, Netflix, Amazon, or another company but are terrified by the interview process and code questions. This course covers subjects like non-technical interviews and compensation negotiations, in addition to algorithms. Topics covered are: 

• Big O notation
• Arrays Hash Tables Singly Linked Lists Doubly Linked Lists Queues Stacks Trees (BST, AVL Trees, Red-Black Trees, Binary Heaps) Tries Graphs
• Tree Traversal
• Breadth-First Search
• Depth First Search

Non-Technical

• How to get more interviews
• What to do during interviews
• What to do after the interview
• How to answer interview questions
• How to handle offers
• How to negotiate your salary
• How to get a raise

The price of the course is 3499 rupees. You need to have a basic understanding of any programming language for this course. The course consists of 261 20-hour lectures. 

The University of Illinois offers a Coursera Specialization in fundamental computer science algorithms and data structures. It’s a three-course curriculum created by computer science professor Wade Fagen-Ulmschneider to provide students with a route into computers and data science. Students must write C++ code snippets on a web-based interface in order to complete the program’s coding tasks. Each course also contains two projects in which students write C++ programs to do things like edit photographs, manipulate data structures efficiently, or solve a graph search problem. You will learn:

• Designing and implementing an object-oriented program in C++
• How to analyze time complexity and space required for an algorithm
• Selecting and implementing the best data structures that best use the resources to solve a computational problem.
• To implement and call sophisticated library functions after gaining a solid understanding of object data structures.

The course is flexible, and the learner should be able to write basic programs in any programming language. The duration of the course is 3 months.

Duration: 3 months with a flexible schedule Level: Intermediate level Prerequisites: None

There are so many courses available to learn data structures and algorithms, but few of them have the right balance between theory and practice. The courses that we covered in this article give a good mix of these two aspects of computing. They also contain every concept that you would need if someone asked you to code something real-world, out there. Anyway, I think this is enough information for you to make up your mind on which course you should take up next. Choose one of them and get started on your path to working for your dream company!

Ans: Data structure and algorithms are essential for developers since they show the problem-solving ability of the developer, the skill that recruiters value the most. Programmers with a strong understanding of data structures and algorithms can effortlessly handle data processing, reasoning, and calculations.

Ans: Yes, you can learn Data structures and algorithms in Python. 

Ans: DSA (Data Structure and Algorithm) is used in every aspect of computer science. Data structures are used to store information, while algorithms are used to solve problems with that data.

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DSA Tutorial

Linked lists, stacks & queues, hash tables, shortest path, minimum spanning tree, maximum flow, time complexity, dsa reference, dsa examples, learn data structures and algorithms.

Data Structures and Algorithms (DSA) is a fundamental part of Computer Science that teaches you how to think and solve complex problems systematically.

Using the right data structure and algorithm makes your program run faster, especially when working with lots of data.

Knowing DSA can help you perform better in job interviews and land great jobs in tech companies.

This Tutorial

This tutorial is made to help you learn Data Structures and Algorithms (DSA) fast and easy.

Animations, like the one below, are used to explain ideas along the way.

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First, you will learn the fundamentals of DSA: understanding different data structures, basic algorithm concepts, and how they are used in programming.

Then, you will learn more about complex data structures like trees and graphs, study advanced sorting and searching algorithms, explore concepts like time complexity, and more.

This tutorial will give you a solid foundation in Data Structures and Algorithms, an essential skill for any software developer.

Try it Yourself Examples in Every Chapter

In every chapter, you can edit the examples online, and click on a button to view the result.

The code examples in this tutorial are written in Python, C, and Java. You can see this by clicking the "Run Example" button.

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What You Should Already Know

Although Data Structures and Algorithms is actually not specific to any programming language, you should have a basic understanding of programming in one of these common programming languages:

DSA History

The word 'algorithm' comes from 'al-Khwarizmi', named after a Persian scholar who lived around year 800.

The concept of algorithmic problem-solving can be traced back to ancient times, long before the invention of computers.

The study of Data Structures and Algorithms really took off with the invention of computers in the 1940s, to efficiently manage and process data.

Today, DSA is a key part of Computer Science education and professional programming, helping us to create faster and more powerful software.

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DSA Interview Course

A free self-paced DSA course for students and professionals who want to learn data structures and algorithms concepts, master problem-solving approaches, and crack the coding interview. Enjoy learning algorithms!

What will you learn?

✓ Problem Solving Techniques

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Ii. dsa fundamentals, iii. problem solving using loop, iv. binary search, v. sorting algorithms, vi. two pointers, sliding window, vii. hashing and hash table, viii. additional practice problems, ix. array and linked list, x. stack and queue, xi. binary tree, xii. bst and heap, xiii. advanced data structures, xiv. dynamic programming, xv. additional practice problems.

Note: In the coming future, we will publish more concept and problem blogs related to queues, linked lists, heaps, graphs, backtracking, greedy algorithms, bit manipulation, number theory, etc. We are looking forward to your critical feedback and reviews. Enjoy algorithms!

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Basics of Java

Data Structures 1

Recursion, Searching and Sorting

Data Structures 2

DP and Graphs

Arrays and Bit Manipulation

Math, Recursion and Backtracking

Searching, Sorting

HashMap and Two Pointers

LinkedList, Stack and Queue

Tree and Trie

Heaps and Greedy

Dp and Graphs

Object oriented Programming

Data Base Management System(DBMS)

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Class starts from 19 th sept (tts 8pm).

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Reviews from students are a valuable resource for understanding the quality of education provided by an institution. They offer insights into the student experience and overall satisfaction.

I can't praise Subhesh's DSA course enough. His unique teaching approach and comprehensive content gave me the edge to crack Google Warsaw . His dedication and support were truly invaluable. I would definitely recommend this course.

Sarthak Bhatia

SDE at Google Warsaw

I can confidently say that this course was a game-changer for me , thanks to the instructor's phenomenal teaching methodology. He made sure to provide clear explanations , offered valuable resources , and guided us every step of the way.

Abhinav Gupta

SDE at Sprinklr

I loved the way this coding course was structured. He started with the basics and then gradually built on our knowledge. This made it easy to learn and retain the information. I also appreciate the fact that he provided us with plenty of practice exercises.

Divya Chopra

SDE at Microsoft

The teaching style by the instructor was a game-changer. Engaging teaching style, well-structured content, and practical tips led to success in cracking Goldman Sachs. Highly recommended for problem-solving and critical thinking skills.

Jaivin Phogaat

SDE at Goldman Sachs Warsaw

The curriculum is comprehensive , instructor is experienced , and in-depth learning helped me gain confidence. I started as a beginner and cracked multiple offers ultimately.

Harshit Trehan

SDE at Atlassian

I am really grateful that I had the opportunity to explore DSA with Subhesh sir. His methodology and guidance were exceptional. The course started from if else and at last we were solving really Hard Leetcode Problems. Had a lot of learning with fun.

Janhvi Kaplish

Product Intern at Adobe

I wasted countless hours on DSA resources before landing under the guidance of Subhesh sir. He is an experienced teacher and one who makes learning a delightful experience. Really mind blowing

Pranjal Sharma

SDE at Amazon

The course is super beginner friendly in nature and I must say the experience which Subhesh sir provides in learning is unmatchable. Its a delight learning from him. I understood topics like graphs and DP in one go , Never imagined to become this good in DSA.

Dhanyaa Bharadwaj

SDE at Walmart

DSA Prep Course Benefits

Data structure and algorithms are fundamental concepts in computer science and Extremely important for Interviews.

Two Step Methodology

Our DSA Prep course follows a unique two-step methodology that focuses on understanding the underlying principles of data structures and algorithms before diving into problem-solving techniques.

Thriving Community

We have a thriving community that fosters growth, support, and collaboration among its members, leading to positive outcomes.

Comprehensive Curriculum

Our DSA Prep course offers a well-structured curriculum vetted by best in the industry covering all fundamental concepts of data structures and algorithms.

Expert Guidance

Throughout our DSA Prep course, students will receive Interview preparation guidance in form of bonus sessions on Resume building, Linkedin profile building, How to approach for referral etc.

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Students have the opportunity to learn in live sessions led by instructors who have cracked and works with firms Google and Microsoft and have strong teaching experience.

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System Design Prep

Core Subject Prep

Frequently asked questions, no, we will start from the basics. even if you never coded a single line, you will be able to understand everything and become interview ready for your dream companies like google, microsoft, amazon. all you need to do is be consistent., yes you can, we will have 3 classes a week and the timing of the classes are 9 pm so your college class or job won’t be a problem., one of our instructors is from a mechanical background and is working with google india as swe 2 . yes, you will be prepared for interview with any company after completing this course., you will get the recorded part in both hindi as well as english (levelup will be in english only). if you choose dsa elite then the live classes will be in hindi., it is tough to do coding on any device other than a laptop. yes, you are required to have a decent laptop/computer with an internet connection., the course duration is 7-8 months. you can start your interviews after 60 days as we will be done with the first iteration of dsa. rest time is for practicing dsa and core subjects if you missed that in college., you will have access of the course for 2 years from the start of the course., don’t worry, the recordings of every live class will be shared on our platform after the live class ends., you can pay via credit card, debit card, upi etc. yes we do have emi options available at the time of checkout., we will be using java in this course. actually, we will be focussing on logic building of problems, so language doesn’t play that big of a part but java is best suited as you can use it to learn other stuff like app development., along with the preparation of dsa and core subjects we will have live sessions on resume building, linkedin profile building, cold emailing to hr for opportunities. after all these you will be able to get the opportunities on your own., yes, you will get a course completion certificate once you complete this program., doubt resolving is available only in dsa prep elite. doubts will be resolved via your instructor, peers or tas., that depends whether you are buying dsa prep lite, dsa prep pro or dsa prep elite. check the details in the above pricing section..

Advanced Data Structures, Algorithms, Problem Solving & System Design(HLD + LLD) (Duration: 7 months)

Advanced Data Structures, Algorithms, Problem Solving (Duration: 4 months)

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Advanced Course of Data Structures, Algorithms & Problem Solving

Batch will starts on 6th may.

Duration: 4 Months (Weekend Online Live Classes)

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What you’ll learn in the Course

Time complexity.

Learn fundamentals of programming and understand time complexity.

Array, String and Linked List

Master array, string and linked list and implement real time project on Git and GitHub.

Stack and Queue

Learn fundamentals of programming of stack and queue and its useage.

Hashing & Heap Sort

Learn fundamentals of programming the hashing/heap sort in very simpler way.

OOPS Concepts & Design

Learn fundamentals concepts of OOPs and use it real projects.

Competitive Programming

String based and mathematical competitive programming practise,Hackerank, Hackerearch Practise in Live classes

Binary Tree, N-ary Tree, Segment Tree etc

Learn fundamentals of binary tree and N-ary tree and use it project/assignements.

Greedy Algorithm

Learn all about building responsive websites using HTML5 and CSS3; discuss key HTML5 APIs and their use cases.

Backtracking & Recursion

Learn fundamentals of programming the world-wide web and its key stakeholders.

Graph Theory

Dynamic programming, advanced data structures.

Complete Advanced data structures like Trie, Suffix Tree, Suffix Tree, ternary search trees etc

Industry Projects

Learn real-time projects from industry experts, and use your learning expertise in the course by designing and coding projects from scratch. also, it enhanced your resume with good expertise in the design & implementation of real-time projects..

• Engage in collaborative real time projects with student-mentor interaction
• Learn faster in-person through guidance from expert mentors
• Personalized subjective feedback on your submissions to facilitate quick improvement

BookMyshow Design & Implement

This is a beginner-friendly real-time project using object-oriented principles and data structures and algorithms concepts. You will learn how to design & implement a ticket booking system that supports synchronization. ... Scalable user interaction and payment gateway integrated into the system. End to end complete flow implementation of the project Expand

E-commerce Websites (Amazon, Flipkart, etc)

Design and Implementation of a project of e-commerce product ( Like Amazon, Flipkart) where users can pick items to their cart, place orders, track orders, and conformation will be sent after delivery. The payment gateway should be supported in card/cash/UPI options. ... Your system accepts the concurrent request from millions of customers and process their order with minimum latency and high efficient system Expand

Design Social Media Network

Real time project to design the social media network having all functionality of connecting friends, communication and viewing news feed. Group, Post, Message, and Comment is primary features will implemented in the social media network project ... Complete end to end flow of object oriented design project of social media platform. Expand

Stock Brokerage System(e.g Zerodha, Upstocks etc)

Design Stock Brokerage System real time project from scratch. As the part of this project we will use all data structures and algorithms to write efficient code for selling and buying multiple types of stocks from our platform in a concurrent system. System mainly responsible for sending notifications for stock orders and periodically fetching stock quotes from the stock exchange ... It can register new account , place order, search stock inventory and deposit/withdraw money Expand

Food Ordering Website

This is a beginner-friendly full stack development project on HTML & CSS. You will use HTML and CSS to build a Blood Donation Website, appointment booking, motivational gal ... You will use HTML and CSS to build a Blood Donation Website that has a sign-up login page, appointment booking, motivational Expand

Restaurants Delivery Application

Online Pharmacy Website

Data Structure and Algorithm course curated by leading faculties and industry leaders to provide pratical learning experience with live interactive classes and projects.

Module 1: Complexity Analysis, Time & Space, Big O Calculation

Chapter 1: understanding complexity.

• • Order complexity analysis
• • What is Big 0 Notation, how to use it with various examples.

Chapter 2: Space & Time Complexity

What is space & time complexity, examples to find out space time complexity

Chapter 3: Worst, Average and Best Cases

• • Understanding Average, Best and Worst case of various programs.
• • Analysis of Loops, Time Complexity of Loop with Powers

Chapter 4: Analysis of Loops, Time Complexity of Loop with Powers

More complex examples which involves multiples exponential loops .

Module 2: Recursion Analysis, Recursion implementation & examples

Chapter 1: visualize call stack and recursion flow.

• What is recursion, how to analyse recursion in call stacks .

Chapter 2: Recursion Code and execution, Multiple recursive calls process

• • Understanding code flow of recursive call with examples

Chapter 3: Space complexity of a recursive algorithm

• • Difference between recursive and iterative approaches
• • Find space complexity of recursive calls.

Chapter 4: Double recursion, How to think recursively

• • More Complex examples involve recursion calls,

Module 3 - Array

Chapter 1: overview, applications & implementation.

• Understanding the Array computations with examples .
• Implementation of Array problems

Chapter 2: Advantages And Limitations

• Why do we need arrays ?
• Array Advantages And Limitation over other data structures

Chapter 3: How to use arrays to solve more complex problems

• Matrix related Problem(2-D array)
• Minimum Window Substring
• Two pointers approach etc

Chapter 4: Searching, sorting based problems

• Linting, formatting, understanding Python code,
• Array problems involves searching
• Array sorting efficient algorithms

Chapter 4: Problem & Solution, Interview Questions

• Discussion of Top product companies interview questions based on Array

Module 4: Strings

Chapter 1: how to solve string based problem.

• Most asked interview question are based on strings.
• How to efficiently solve strings problems

Chapter 2: Tips & tricks of string concepts

• Tricks of solving the strings problems techniques
• Two pointers tricks, window based problems etc

Chapter 3: Interview Questions on strings problems

• Discussion of Top product companies interview questions based on String

Module 5 - LinkedList, Doubly Linked List examples & problems

Chapter 1: linked list introduction & implementation.

• Linked List creation implementation
• Adding,deleting and finding specific nodes

Chapter 2: Circular linked list with examples

• Implementation of Doubly linked list
• Implementation of Circular linked list
• Problems based on DLL, Circular LinkedList.

Chapter 3: Problems based on LinkedList

• Merge two sorted linked lists, merge sort of a linked list
• Reversing a linked list, k group Linked List etc

Chapter 4: Interview Questions on LinkedList, DLL

• Discussion of top product companies interview questions based on DLL, LinkedList

Module 6 - Binary Tree, BST

Chapter 1: introduction of binary tree.

• Introduction to Trees.
• Making a tree node class
• Tree traversals
• Destructor for tree node class

Chapter 2: Analysis, practical Applications of Binary tree

• Balanced Trees, How to maintain Tree Balance
• Self-balancing tree

Chapter 3: Binary Tree traversal

• In Order, Pre and Post-Order using recursion
• Problems based on Binary Tree traversal
• What Is a Binary Search Tree Used For?
• Left view, right view, bottom view of binary tree etc

Chapter 4: Interview Questions on Binary tree

• Discussion of Top product companies interview questions based on Binary tree

Chapter 5: Introduction of Binary Search Tree

• Introduction to Binary Search Trees
• Searching a node in BST
• Inserting and Deleting nodes in BST
• Types of balanced BSTs

Chapter 6: Interview Questions on Binary Search Tree(BST)

• Discussion of Top product companies interview questions based on BST

Chapter 7: Advanced Tree

• B Tree, B+ Tree & Threaded binary tree
• AVL Tree, Segment Tree
• N-ary Tree and Problems

Chapter 8: Interview Questions on Advanced Tree

• Discussion of Top product companies interview questions based on Advanced tree

Module 7: Stack Implementation & Problems

Chapter 1: stack: what is stack & how are stacks used.

• Operations on Stack LIFO operation.
• Applications & implementation of Stack Data Structure

Chapter 2: Stack Based Interview Question

• Valid parenthesis, find next greater element, prefix, postfix etc

Chapter 3: Advanced Problems based on Stack

• Complex problems of stack

Chapter 4: Interview Questions on Stack

• Discussion of Top product companies interview questions based on Stack LIFO operation

Module 8: Queue Implementation & Problems

Chapter 1: queue: what is the queue, how are they used.

• Operations on Queue FIFO operation.
• Applications & implementation of Queue Data Structure

Chapter 2: Queue Based Interview Question

• Discussion of Top product companies interview questions based on Queue

Chapter 3: Introduction & Implementation of Circular Queue

• Applications & implementation of Circular Queue Data Structure

Chapter 4: Interview Questions on Queue & Circular Queue

• Discussion of Top product companies interview questions based on Queue FIFO operation
• Medium to Advanced set of problems discussion

Module 9 - Heap & priority queue

Chapter 1: priority queue & heap overview.

• Implementation of Priority Queue using various data structures
• Insert, delete, peek operation in priority queue
• Binary Heap Time Complexity of building a heap
• Applications of Heap Data Structure

Chapter 2: What is heap, Min Heap & Max Heap introduction, approach

• Min heap, Max heap implementation
• Interview problems based on Min/Max Heap
• Basic heap operation, Heapify operation implementation

Chapter 3: Interview Questions on Heap & Priority Queue

• Discussion of Top product companies interview questions based on Heap & Priority Queue

Module 10: Hashing & Map

Chapter 1: hash table, functions & hashing techniques.

• Hashing DS, Hash table, hash function.
• Double hashing, probing
• Insert, delete & search in hash in O(1) time

Chapter 2: Hashing: Problem & Solution

• Top k elements, Smallest subarray, word count etc
• Product companies Hashing interview questions

Chapter 3: Design and implement LRU

• Implement LRU, various problems on LRU

Chapter 4: Interview Questions on Hashing and Map

• Discussion of Top product companies interview questions based on Hashing

Module 11: Graph (BFS, DFS, Topological sort etc)

Chapter 1: introduction, types & applications.

• Graph and its representations.
• Undirected Graph, Directed Graph, Connected Graph etc

Chapter 2: Graph Representation, Adjacency List & Traversals

• Graph implementation of Adjacency List
• Adjacency matrix representation of Graph

Chapter 3: Breadth First Search (BFS), Depth First Search (DFS)

• DFS implementation, Application
• BFS implementation , Application

Chapter 4: Problems based on BFS & DFS

• Medium to Advanced interview questions on BFS & DFS

Chapter 4: Shortest Path Algorithms

• All types & implementation of Shortest Path Algorithms
• Single-Source Shortest Paths in Directed & Undirected graph

Module 12: Advanced DSA Topics

Chapter 1: introduction, types & applications of trie.

• Trie Data Structure - Explained with Examples.
• Why use Trie Data Structure?

Chapter 2: Implementation of Trie

• Insert in Trie
• Search in Trie
• Trie Applications

Chapter 3: Interviews Questions Based on Trie

• Word search, Longest Common Prefix, Words in dictionary etc

Chapter 4: Suffix Array & Tree Implementation & Problems

• Suffix Tree Introduction
• Search a pattern using the built Suffix Array
• Longest common prefix of two substrings
• Finding the longest repeated substring
• Pattern searching

Chapter 4: Ternary search tree Introduction, Types & Applications

• Representation of ternary search trees
• Applications of ternary search trees

Chapter 5: Segment Tree

• Representation of Segment trees
• Construction of segment tree from array
• Interview questions of segment tree

Chapter 6: Interview Questions of Advanced DSA Topics

• Discussion of Top product companies interview questions based on Advanced DSA

Module 1: Complexity Analysis of Algorithms

Algorithms time complexity analysis.

• • Optimizing algorithms & find time complexity of algorithms.
• • Complexity Analysis of exponential & factorial runtime

Algorithms space complexity analysis

• • Space time complexity of algorithms.
• • Techniques to find time & space complexity

Module 2: Searching Algorithms

Searching algorithms implementation & problems.

• Searching Algorithms Implementation & Problems

Binary search algorithm

• Binary search algorithm, implementation with examples

• Searching max value in ordering array & rotational array using binary search

Linear Search & Comparing basic search Algorithm

• Array overview & introduction

• Rotational array , Binary search advanced problem

Interview Question of Searching Algorithms

• Discussion of Top product companies interview questions based on Searching Algorithms

Module 3: Sorting Algorithms Implementation & Problems

What is sorting & why is it needed.

• Stable & unstable sorting

Basic sorting (Bubble, Selection, Insertion)

• Implementation & complexity of all sorting algorithms

Advance sorting (Radix, Merge, Quick, Heap, Counting)

• Advanced efficient sorting discussion

• Implementation of Advance sorting

Problems based on merge sorting algorithms

• Medium & Advanced problem based on merge sort

Problems based on Courting sorting algorithms

Problems based on quick sorting algorithms, interview problems on sorting algorithms, module 4: greedy algorithms implementation & problems, greedy algorithms introduction & examples.

• Steps for achieving a Greedy Algorithm

• How to identify greedy algorithms

• Does a greedy algorithm always work?

Standard problems of greedy algorithms

• Activity Selection Problem, Job sequencing and selection Problem

• Algorithm of Huffman Code

Interview problems of Greedy Algorithms

• Discussion of Top product companies interview questions based on Greedy algo

Module 5: Pattern Searching Algorithms

Naive pattern searching.

• Searching a string for a specific pattern or sub-string based problems

KMP Algorithm

• The Prefix Function, the KMP Matcher & running time

Rabin-Karp Algorithm

• Searching/matching patterns in the text using a hash function

Boyer Moore Algorithm

• Suffix search approach

Kadane Algorithms

• Maximum Subarray Problem, Subarray problems etc

Manacher’s Algorithm

• Intuition behind Manacher’s algorithm, Implementation

• Finding the Longest Palindromic Substring

Interview problems of Pattern Searching Algorithms

• Discussion of Top product companies interview questions based on Pattern Searching

Module 6: Backtracking Algorithms Implementation & Problems

How to apply backtracking using recursion.

• Understanding backtracking approach, how to Solve Problems

N Queen Problem, Rat Maze, Permutations of a given String etc

• Medium to Hard problems in Backtracking

Interview questions of Backtracking

• Discussion of Top product companies interview questions based on Backtracking

Module 7: Divide and Concur Algorithms

How to apply divide and concur algorithms, types of divide and concur algorithms, divide and concur examples & problems, interview questions on divide and concur, module 8 : bitwise algorithms, how to identify a dynamic programming, dynamic programming approach & examples of dp understanding, problems on dynamic programming, longest increasing subsequence(lis), longest common subsequence(lcs), longest palindromic substring(lps) etc, longest valid parentheses, decode ways(factorial based problems) etc, buy and sell stock k transaction, work break, continuous subarray sum etc, interview problems of dynamic programming, module 1 : basics of oops.

Introduction to OOPS, Creating objects, Getters and setters, Constructors and related concepts, Inbuilt constructor and destructor, Example classes

Module 2: Advanced Concepts of oops

Oops chapter 2.

Static members, Function overloading and related concepts, Abstraction, Encapsulation, Inheritance, Polymorphism, Virtual functions, Abstract classes, Exception handling

Module 3: How To Solve Competitive Programming

• • What is Competitive Programming and How to Prepare for It?
• • How to use mathematical algorithms to solve CP
• • String based competitive programming practise
• • Hackerank, Hackerearch , Codeforce Practise in Live classes

Code Management

Git-hub code tools.

• • Feature Branch Workflow
• • Git Commands & Examples
• • Branching and Merging
• • Centralized, Distributed, Localized version control systems

Version Control

Tracking and managing changes to software code.

• • Change Management in Software Development
• • Release management
• • Designing Software building process with sprints

Agile Mythology

Agile mythology concepts.

• • What is Agile Methodology, Process & Life Cycle
• • Scrum Testing, Process, Artifacts, Sprint
• • Agile Vs Waterfall, Agile Vs Scrum
• • Scrum Master Tutorial
• • Agile approach for the project

Use Cases,Implementation & testing

Oops test chapter 4.

Initial player aces are aces that are contained in the initial player hand (the first two cards dealt to the player) prior to the Ace Rule being satisfied; and are an important piece of the ‘Ace Rule.’

SDLC (Software Development Life Cycle)

Understanding of tools & library for sdlc.

• • Introduction to SDLC with Git
• • Reviewing and gathering tools for project
• • Build project, Identify and log bugs, Clear bugs
• • Designing Software building process

BookMyshow design & Implement

This is a beginner-friendly real-time project using object-oriented principles and data structures and algorithms concepts. You will learn how to design & implement a ticket booking system that supports synchronization.

Design and Implementation of a project of e-commerce product ( Like Amazon, Flipkart) where users can pick items to their cart, place orders, track orders, and conformation will be sent after delivery. The payment gateway should be supported in card/cash/UPI options. Your system acce

Real time project to design the social media network having all functionality of connecting friends, communication and viewing news feed. Group, Post, Message, and Comment is primary features will implemented in the social media network project Complete end to end flow of object oriented design project of social media platform.

Design Stock Brokerage System real time project from scratch. As the part of this project we will use all data structures and algorithms to write efficient code for selling and buying multiple types of stocks from our platform in a concurrent system. System mainly responsible for sending notifications for stock orders and periodically fetching stock quotes from the stock exchange It can register new account , place order, search stock inventory and deposit/withdraw money.

Program highlights

Request more information

Job focused programs to help realize your dreams, learn and get hired in simple steps.

Acquire Expertise

Learn Data Structures, Algorithms & problem-solving techniques from industry veterans in a Live session and enjoy an immersive learning experience.

Missed your classes

If you miss any classes, No problem. Just after every class, you will get video access to all classes for lifetime access.

Attend the Live 1:1 doubt clearing sessions. In case you missed asking doubts in classes, attend separate 1:1 doubts solving classes

Assignments for practice

Learn DSA from practice. Get assignments from the mentor for self attempt

Flexible batches

Attend multiple batches with multiple trainers. If you missed any session or topics, attend any batches as per your flexibility. Even after course completion, you can repeat any classes for 1 year.

Job assistance program

Be attentive with regular classes & solve all assignments. After completion of the course, you will be eligible for the job referrals program

Mock Interview sessions

Be attentive with regular classes & solve all assignments. After completion of the course, you will be eligible for the mock interview session

Peer to Peer Learning

Join the slack channel with all your batchmates. Peer to peer learning with your batchmates

self-paced course to learn Data Structures, algorithms & system design from industry veterans and enjoy an immersive learning experience.

Revise concepts with Assignments

Practice assignments in an editor, Can't solve it? All assignments also have detailed explanations.

Ask your Doubts Anytime

Getting Stuck While Coding? Get all your doubts resolved. Ask any queries in any lectures as well as assignments from experts

Online weekly coding env

Check your progress & feel the competitive environment every week with an online coding test.

Job assistance

Get ready for the final battle? All consistent performers in the weekly test will get referrals in tech company's interviews.

Code Execution environment

We have integrated an online code execution environment editor for practicing all lectures & assignments with test cases & solution

High demand for quality coding skills across all product companies in the world

Enhanced your salary 8x just by learning dsa & problem solving techniques, top 2 tech role, top 3 in-demand tech job.

Tech Republic

Average Annual Base Salary (2018 - 2020)

Average Salary Growth Annual (2020-2025)

Software Developer Job Listings Growth, Annual (2019-2022)

of all jobs in the top income quartile show significant demand for coding skills

Work on live projects to get hired at:

Our experts hail from

Technologies you will master in the Full Stack Developer Course

Grab valuable certification

Project certification course, experience certification.

Participate in projects to earn a certificate of project experience. Additionally, begin preparing for your desired job.

• Step by step program for gradually enhancing coding skills up to the level of FAANG companies.
• Learn from experts in live interactive classes, practice problems with the like-minded people
• Get placed in product companies after completing comprehensive training of Data structures & Algorithms from Bangalore's leading institute. Also, boosting your confidence to appear in MNC interviews.

How Logicmojo stands out

The strong-points of logicmojo.

• We have a free trial live session for all candidates before joining starting the batch.
• Clarify all your queries during the F2F session from your mentor before attending the course.
• You don't need to pay the amount in one go. We have a flexible plan available where users can join the course in EMI options of 3 month/6 months/1 year plan with no interest.
• Free profile/resume review from our Counsellor before joining the batch. Eligible candidates can join the batch.

• Even after completing your batch, you can attend multiple batches with multiple trainers to clarify any topics till 1 year.
• Due to some urgent personal work if you want to leave your current batch & later join another batch to continue your preparation.

• Become consistent with classes and attend live classes regularly.
• Complete assignments within the time.
• Get ready for Job referrals & mock interview sessions after course completion.

How to apply?

Follow these 3 simple steps to the admission process..

Attend Free Demo Session

Have live session with your mentor

Talk to Expert

Schedule on call with Counsellor

Get Started

Join online live session

Upcoming Cohort Deadline

The admission closes once the required number of applicants enroll for the upcoming cohort. Apply early to secure your seats and get started on your professional artificial intelligence and machine learning training.

Net amount USD 410.00

After Discount USD 340.00

Total USD 340.00

Tution Fee Monthly

Net amount USD 61.00

Sale Discount USD-30.00

After Discount USD 31.00

Total USD 31.00

Got Question regarding next cohort date?

Data structures & algorithms course faqs, can i attend the demo session with my mentor before joining.

You can attend a free demo class from your mentor before joining the course. This session will go around 90 min of duration. You can clarify all your doubts during this live demo session before joining the batch.

We offer fully online classes via live sessions due to the outbreak. That means you can talk to your instructor in real-time, just like a traditional face-to-face session. Additionally, at this time, all practical sessions of our data structures, algorithms & problem solving course will be conducted using cloud-based services.

Will there be a make-up class available if I have to miss a session due to an emergency ?

Firstly, we offer live online classes for our Data Structures, Algorithms & Problem solving course. Also, all of our students have access to recorded versions of those classes. In addition, we also give you unlimited access to these recorded sessions, so you can go back to them whenever you need theoretical help for your interview preparation. As a result, you need not be disappointed if you miss any of the live classes under our online training. However, we strongly advise you to participate in all live classes.

What if I did not understand an entire module? Will I be able to repeat the class?

Most importantly, if you do not understand an entire module under the DSA live course, you can repeat the same class with another batch. Thus, leaving no chance for you to remain in confusion about the learning modules.

Are there any course fee discounts available with Logicmojo Live course? ?

After completion of the demo class, we offer 15% early bird discount for the next 10 days. If you join within 10 days after the demo class, you will be eligible for a discount.

What is the duration of this course ?

• Weekend Classes : 3 hours (Saturday & Sunday)
• Duration: 4 months

How to avail of a job assistance program ?

Job Assistance program is available for all candidates being regular with classes. Be attentive with regular classes & solve all assignments. After completion of the course, you will be eligible for the job referrals program

7. What jobs will this course prepare me for?

It begins with two cards dealt face up to the player which creates an initial hand value and hand type. The cards shall be dealt directly in front of the player, side-by-side, face up and not overlapping or staggered in any way. The full surface of the player's hand shall not be obstructed by any other objects on the playing surface. The player's initial hand value is calculated by adding the numerical values of the two cards dealt from the deck (e.g. 2clubs + Q diamonds = 12).

8. How do I know whether this bootcamp is right for me?

9. is it realistic to learn so many languages so fast, 10. is this course really beginner-friendly.

What People Say

How it has helped them accelerate their careers to the next level..

Siddharth Pande

Full stack developer.

Anjani Kumar

Software development engineer - 1.

Afnaan Rafique

Software engineer 2.

Piyush Mittal

Senior developer.

Diwakar Choudhary

Staff engineer/manager.

Priya Singh

Senior software engineer.

Rajnish Kumar

Staff engineer.

Aravindo Swain

Software engineer - ii, 10,000+ happy students.

Best course to prepare for FAANG companies interviews. Just finish this course and you will receive multiple offer letters. I cracked Paytm, Adobe, Intuit, and Microsoft. Finally, I joined Microsoft. Thanks, Logicmojo Team.

Logicmojo course helps me during my preparation for top tech companies. Just in 4 months of preparation, I manage to crack Paypal & Adobe interviews. The mentor is very helpful during the preparation journey even after that he guides me. Thanks, sir and Logicmojo Team

Very well-arranged course and its amazing lectures. Expert Team is always available to solve any technical queries. Logicmojo helps me crack Zynga and now Amazon interview.

Had a beautiful experience with Logicmojo. Their courses are perfectly designed to help you in your placement journey. The mentors are quite helpful and clear all your doubts quickly.

This course is perfect for beginners who want top tech companies i-card with a few months of preparation. Most of the questions repeat during the interviews from the course.

After searching lots of the courses finally I got the course where the way concepts are explained is a wonder. I can see my coding skills are improving and I am managing to solve Leetcode medium & Hard problems easily. It helped during my placement in Paypal interviews which is considered to be very difficult interview.Hats off to the team.

Shalin Gupta

Get in touch with us.

[email protected]

+91 80889-75867

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DSA Sheet by Love Babbar

• The Ultimate Beginner's Guide For DSA
• Pandas Cheat Sheet for Data Science in Python
• DSA for Placement
• TCS SDE Sheet: Interview Questions and Answers
• GeeksforGeeks Master Sheet - List of all Cheat Sheets
• Program to wish Women's Day
• Can I learn DSA in 2 months?
• NumPy Cheat Sheet: Beginner to Advanced (PDF)
• Python | Pandas Series.to_clipboard()
• Python | How to copy data from one excel sheet to another
• Python for Spreadsheet Users
• Using pandas crosstab to create a bar plot
• Power BI - Pin Workbooks on the Dashboard
• Python - Bamboolib for Pandas
• Crossword Puzzle Of The Week #9 (For DSA)
• DS | Bootcamp | Question 5
• Akbar Nama and Ain-i Akbari
• Data-Analysis-fork-ds | Question 6
• Dual Lines Chart in Tableau

Who is Love Babbar?

Love Babbar is a famous Youtuber, graduated from NSUT Delhi who has also worked as a Software Engineer at Amazon.

What is a DSA Sheet?

A sheet that covers almost every concept of Data Structures and Algorithms.

So, this DSA sheet by Love Babbar contains 450 coding questions which will help in:

• Understanding each and every concept of DSA.
• Clearing the DSA round for the Interviews, as these are the questions generally asked in the companies like Amazon, Microsoft, Google, etc.
• Basic Knowledge of Data Structures and Algorithms .
• Having good knowledge of at-least one programming knowledge like C++ , Java , Python .
• Know how to use STL as it will make data structures and few techniques easier to implement.

Below is the topic-wise distribution of 450 questions:

• Strings(43)
• Searching and Sorting(36)
• Linked List(36)
• Bit Manipulation(10)
• Backtracking(19)
• Dynamic Programming(60)
• Stacks and Queues(38)
• Binary Trees(35)
• Binary Search Tree(22)

     This sheet can be completed within 2-3 months without any cheat day. So, Start solving this 450 DSA Cracker from today itself. Keep a track of all the problems mentioned below: Practice Love Babbar DSA Sheet

Searching and Sorting :

LinkedList :

Bit Manipulation :

Backtracking

Dynamic Programming

Stacks and Queues

Binary Trees

Binary Search Tree :

Track your progress and attempt this list on GfG Practice.

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DSA Problem Solving for Interviews using Java

Free DSA Problem Solving for Interviews using Java

About this Free DSA Problem Solving for Interviews using Java Course

Scaler Topics free online course is designed to help you prepare for data structure and algorithm (DSA) interview questions using Java. It is suitable for beginners who want to learn DSA problem solving and its applications in job interviews.

What you’ll learn

• Problem solving using JAVA
• Ability to use Data structures efficiently
• Eliminate excess time of compilation

Course Content

Certificate for Free DSA Problem Solving for Interviews using Java

Instructor of this course.

Pre-requisites for free data structure interview questions java certification course

• Basic knowledge of programming concepts in Java
• Familiarity with data structures like arrays, linked lists, stacks, and queues
• Understanding of algorithm design techniques like divide and conquer, dynamic programming, and greedy algorithms

Who should learn this free DSA Problem Solving for Interviews using Java course?

This course is designed for beginners who want to prepare for DSA interview questions using Java. It is also suitable for experienced programmers who want to brush up their skills and learn new problem-solving techniques.

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